IOTNation_CompanyName_Extraction_QA_Model_1.1

chriskim2273/IOTNation_CompanyName_Extraction_QA_Model_1.1

IOTNation_CompanyName_Extraction_QA_Model_1.1 is a question answering model from chriskim2273. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

4% of all-time downloads

All-time downloads

219

Public

Repo size

531 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin265 MB · 100%

At a glance

Task: Question Answering
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Jul 3, 2023
Updated: Jul 3, 2023
SHA: 62d628b7

Try a prompt

Model card

From the Hugging Face model README

IOTNation_CompanyName_Extraction_QA_Model_1.1

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4259

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	37	0.7508
No log	2.0	74	0.4030
No log	3.0	111	0.3860
No log	4.0	148	0.4186
No log	5.0	185	0.4259

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

Task: Question Answering
Library: transformers
Type: distilbert
License: apache-2.0
Created: Jul 3, 2023
Updated: Jul 3, 2023